Broadly speaking, Megan studies how dynamic social and knowledge structures impact organizations implementing a unified strategy of innovation, adaptation, and learning. Currently, Megan is working on four projects. Project one examines the relationship between social and knowledge structures in the medical industry using word embedding models. Project two investigates determinants of network activation and how network activation patterns can predict future performance in the context of a software development company. Project three examines an inter-organizational network of education nonprofits in Colombia and investigates how the focal organization was able to grow over the span of twenty years by having an orientation towards connecting unconnected organizations (tertius iungens). Project four investigates the impact of knowledge structures on the spread of disinformation. To conduct her research, Megan uses a variety of methods, including machine learning, agent-based modeling, and longitudinal analysis.